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Cournot games with linear regression expectations in oligopolistic markets

Kamalinejad, Howra; Majd, Vahid Johari; Kebriaei, Hamed; … - In: Mathematics and Computers in Simulation (MATCOM) 80 (2010) 9, pp. 1874-1885

rivals’ behaviors. This estimation is carried out using linear regression and recursive weighted least-squares method. As the … information of each player about its rivals increases during the game, its estimation of their reaction functions becomes more …

Persistent link: https://www.econbiz.de/10010870753

Effect of stop line detection in queue length estimation at traffic signals from probe vehicles data

Comert, Gurcan - In: European Journal of Operational Research 226 (2013) 1, pp. 67-76

real-time estimation of queue lengths by combining these two data types, i.e., actuation from stop line detectors with … statistical point estimation, analytical models are developed for the expected total queue length and its variance at the end of … examples are presented to show how estimation errors behave by the inclusion of stop line detection for different volume to …

Persistent link: https://www.econbiz.de/10010871282

Least squares type estimation for Cox regression model and specification error

Gradowska, P.L.; Cooke, R.M. - In: Computational Statistics & Data Analysis 56 (2012) 7, pp. 2288-2302

A new estimation procedure for the Cox proportional hazards model is introduced. The method proposed employs the sample …

Persistent link: https://www.econbiz.de/10010871348

Assessing a scope of modernization in the units of the Russian Federation

Kazantsev, S.V. - In: Journal "Region: Economics and Sociology" 4 (2012)

The author describes a scope of innovation activities carried out by the subjects of the Russia Federation, and presents his instructive conclusions which could be useful in shaping elements of both Russian and regional innovation spatial policies.

Persistent link: https://www.econbiz.de/10010664021

Travel time estimation for urban road networks using low frequency probe vehicle data

Jenelius, Erik; Koutsopoulos, Haris N. - In: Transportation Research Part B: Methodological 53 (2013) C, pp. 64-81

The paper presents a statistical model for urban road network travel time estimation using vehicle trajectories …

Persistent link: https://www.econbiz.de/10010666246

Measuring customer value and market dynamics for new products of a firm: an analytical construct for gaining competitive advantage

Rajagopal - In: Global Business and Economics Review 8 (2006) 3/4, pp. 187-205

There have not been many contributions emerging in the past addressing the measurement of the customer value as an intangible asset of the firm, though substantial literature is available discussing the customer relations and loyalty building perspectives. This paper attempts to critically...

Persistent link: https://www.econbiz.de/10010668999

A comparison of models for measurable deterioration: an application to coating on steel structures

Nicolai, R.P.; Dekker, Rommert; van Noortwijk, van … - Faculteit der Economische Wetenschappen, Erasmus … - 2006

Steel structures like bridges, tanks and pylons are exposed to outdoor weathering conditions. In order to prevent them from corrosion they are protected by organic coating systems. This paper focuses on modelling the deterioration of the organic coating layer that protects steel structures from...

Persistent link: https://www.econbiz.de/10010837839

Generalized Beta-Generated Distributions

Alexander, Carol; Cordeiro, Gauss M.; Ortega, Edwin M. M.; … - Henley Business School, University of Reading - 2011

Persistent link: https://www.econbiz.de/10010838056

Expectations, risk premia and information spanning in dynamic term structure model estimation

Guimarães, Rodrigo - Bank of England - 2014

This article examines the nature of the empirical instability in dynamic term structure models. I show that using survey forecasts is an effective solution because it directly addresses the information imbalance at the heart of the instability: it increases the (cross-section) information on...

Persistent link: https://www.econbiz.de/10010839046

Estimation of Industrial Production Costs, Using Regression Analysis, Neural Networks or Hybrid Neural - Regression Method?

Abounoori, Esmaiel; Bagherpour, Morteza - In: Iranian Economic Review 11 (2006) 2, pp. 17-29

Estimation (Forecasting) of industrial production costs is one of the most important factor affecting decisions in the … highly competitive markets. Thus, accuracy of the estimation is highly desirable. Hibrid Regression Neural Network is an …

Persistent link: https://www.econbiz.de/10010839232